Jun Sun
Impact in
- Rheumatology top 0.5%
- Osteoarthritis Treatment and Mechanisms
- Urology top 0.5%
- Periodontal Regeneration and Treatments
Papers in
- Rheumatology 20
- Osteoarthritis Treatment and Mechanisms 18
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- Bone Metabolism and Diseases 5
- Epigenetics and DNA Methylation 3
- TGF-β signaling in diseases 3
- Ubiquitin and proteasome pathways 2
- Co-authors
- Caroline D. Hoemann (23 shared papers)Michael D. Buschmann (15 shared papers)Anik Chevrier (12 shared papers)Marc D. McKee (4 shared papers)Mark Hurtig (8 shared papers)Matthew S. Shive (6 shared papers)Evgeny Rossomacha (5 shared papers)Hongmei Chen (6 shared papers)
- Journals
- Osteoarthritis and Cartilage (6 papers)Nature Communications (3 papers)Bone Research (3 papers)Journal of Bone and Joint Surgery (3 papers)Journal of Orthopaedic Research® (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jun Sun
46 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 101
- Rheumatology 1.0k
- Urology 385
- Biomaterials 436
- Orthopedics and Sports Medicine 256
- Molecular Medicine 149
Countries citing papers authored by Jun Sun
This map shows the geographic impact of Jun Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sun more than expected).
Fields of papers citing papers by Jun Sun
This network shows the impact of papers produced by Jun Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Sun. The network helps show where Jun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 273 | |
| 2 | 2005 | 237 | |
| 3 | 2009 | 186 | |
| 4 | 2006 | 171 | |
| 5 | 2006 | 153 | |
| 6 | 2002 | 140 | |
| 7 | 2011 | 113 | |
| 8 | 2011 | 90 | |
| 9 | 2007 | 89 | |
| 10 | 2020 | 87 | |
| 11 | 2010 | 70 | |
| 12 | 2007 | 67 | |
| 13 | 2017 | 63 | |
| 14 | 2005 | 60 | |
| 15 | 2013 | 49 | |
| 16 | 2018 | 48 | |
| 17 | 2011 | 37 | |
| 18 | 2010 | 37 | |
| 19 | 2023 | 35 | |
| 20 | 2020 | 31 |
About Jun Sun
Jun Sun is a scholar working on Rheumatology, Molecular Biology, Surgery, Orthopedics and Sports Medicine and Genetics, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (18 papers), Knee injuries and reconstruction techniques (6 papers), Bone Metabolism and Diseases (5 papers), Total Knee Arthroplasty Outcomes (4 papers), Lower Extremity Biomechanics and Pathologies (3 papers), Epigenetics and DNA Methylation (3 papers), TGF-β signaling in diseases (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Rheumatology (1.0k citations), Urology (385 citations), Biomaterials (436 citations), Orthopedics and Sports Medicine (256 citations) and Molecular Medicine (149 citations). Jun Sun has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Caroline D. Hoemann, Michael D. Buschmann, Anik Chevrier, Marc D. McKee, Mark Hurtig, Matthew S. Shive, Evgeny Rossomacha, Hongmei Chen, Wei Ouyang and V. Lascau-Coman. Their work appears in journals such as Osteoarthritis and Cartilage, Nature Communications, Bone Research, Journal of Bone and Joint Surgery and Journal of Orthopaedic Research®.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.